JP2002311989A - チャネル歪みおよび背景雑音の両方に対して補正した音声認識方法 - Google Patents

チャネル歪みおよび背景雑音の両方に対して補正した音声認識方法

Info

Publication number
JP2002311989A
JP2002311989A JP2002067939A JP2002067939A JP2002311989A JP 2002311989 A JP2002311989 A JP 2002311989A JP 2002067939 A JP2002067939 A JP 2002067939A JP 2002067939 A JP2002067939 A JP 2002067939A JP 2002311989 A JP2002311989 A JP 2002311989A
Authority
JP
Japan
Prior art keywords
vector
model
noise
speech
average
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
JP2002067939A
Other languages
English (en)
Japanese (ja)
Inventor
Yifan Gong
ゴン イーファー
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Texas Instruments Inc
Original Assignee
Texas Instruments Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Texas Instruments Inc filed Critical Texas Instruments Inc
Publication of JP2002311989A publication Critical patent/JP2002311989A/ja
Pending legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/20—Speech recognition techniques specially adapted for robustness in adverse environments, e.g. in noise, of stress induced speech
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/08—Speech classification or search
    • G10L15/14—Speech classification or search using statistical models, e.g. Hidden Markov Models [HMMs]
    • G10L15/142—Hidden Markov Models [HMMs]
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L21/00—Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
    • G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
    • G10L21/0208—Noise filtering
    • G10L21/0216—Noise filtering characterised by the method used for estimating noise

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Human Computer Interaction (AREA)
  • Computational Linguistics (AREA)
  • Health & Medical Sciences (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Acoustics & Sound (AREA)
  • Multimedia (AREA)
  • Probability & Statistics with Applications (AREA)
  • Circuit For Audible Band Transducer (AREA)
  • Cable Transmission Systems, Equalization Of Radio And Reduction Of Echo (AREA)
  • Compression, Expansion, Code Conversion, And Decoders (AREA)
  • Time-Division Multiplex Systems (AREA)
  • Complex Calculations (AREA)
JP2002067939A 2001-03-14 2002-03-13 チャネル歪みおよび背景雑音の両方に対して補正した音声認識方法 Pending JP2002311989A (ja)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US275487 1981-06-19
US27548701P 2001-03-14 2001-03-14

Publications (1)

Publication Number Publication Date
JP2002311989A true JP2002311989A (ja) 2002-10-25

Family

ID=23052506

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2002067939A Pending JP2002311989A (ja) 2001-03-14 2002-03-13 チャネル歪みおよび背景雑音の両方に対して補正した音声認識方法

Country Status (4)

Country Link
US (1) US7062433B2 (fr)
EP (1) EP1241662B1 (fr)
JP (1) JP2002311989A (fr)
DE (1) DE60212477T2 (fr)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2006030551A1 (fr) * 2004-09-15 2006-03-23 The University Of Tokyo Procede d'adaptation de modele pour reconnaissance vocale dans du bruit, par approximation polynomiale

Families Citing this family (22)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6985858B2 (en) * 2001-03-20 2006-01-10 Microsoft Corporation Method and apparatus for removing noise from feature vectors
US20040148160A1 (en) * 2003-01-23 2004-07-29 Tenkasi Ramabadran Method and apparatus for noise suppression within a distributed speech recognition system
JP4357867B2 (ja) * 2003-04-25 2009-11-04 パイオニア株式会社 音声認識装置、音声認識方法、並びに、音声認識プログラムおよびそれを記録した記録媒体
WO2005070130A2 (fr) * 2004-01-12 2005-08-04 Voice Signal Technologies, Inc. Normalisation d'un canal de reconnaissance de la parole automatique
US7236930B2 (en) * 2004-04-12 2007-06-26 Texas Instruments Incorporated Method to extend operating range of joint additive and convolutive compensating algorithms
US20070033027A1 (en) * 2005-08-03 2007-02-08 Texas Instruments, Incorporated Systems and methods employing stochastic bias compensation and bayesian joint additive/convolutive compensation in automatic speech recognition
US7877255B2 (en) * 2006-03-31 2011-01-25 Voice Signal Technologies, Inc. Speech recognition using channel verification
CN1897109B (zh) * 2006-06-01 2010-05-12 电子科技大学 一种基于mfcc的单一音频信号识别方法
US7664643B2 (en) * 2006-08-25 2010-02-16 International Business Machines Corporation System and method for speech separation and multi-talker speech recognition
CN101030369B (zh) * 2007-03-30 2011-06-29 清华大学 基于子词隐含马尔可夫模型的嵌入式语音识别方法
US8180637B2 (en) * 2007-12-03 2012-05-15 Microsoft Corporation High performance HMM adaptation with joint compensation of additive and convolutive distortions
WO2009078093A1 (fr) 2007-12-18 2009-06-25 Fujitsu Limited Procédé de détection de section non-parole et dispositif de détection de section non-parole
US8306817B2 (en) * 2008-01-08 2012-11-06 Microsoft Corporation Speech recognition with non-linear noise reduction on Mel-frequency cepstra
US8145488B2 (en) * 2008-09-16 2012-03-27 Microsoft Corporation Parameter clustering and sharing for variable-parameter hidden markov models
US8214215B2 (en) * 2008-09-24 2012-07-03 Microsoft Corporation Phase sensitive model adaptation for noisy speech recognition
EP2182512A1 (fr) * 2008-10-29 2010-05-05 BRITISH TELECOMMUNICATIONS public limited company Vérification du locuteur
US8639502B1 (en) 2009-02-16 2014-01-28 Arrowhead Center, Inc. Speaker model-based speech enhancement system
CN103811008A (zh) * 2012-11-08 2014-05-21 中国移动通信集团上海有限公司 一种音频内容识别方法和装置
US9489965B2 (en) * 2013-03-15 2016-11-08 Sri International Method and apparatus for acoustic signal characterization
CN106057195A (zh) * 2016-05-25 2016-10-26 东华大学 一种基于嵌入式音频识别的无人机探测系统
US10720165B2 (en) * 2017-01-23 2020-07-21 Qualcomm Incorporated Keyword voice authentication
US20210201928A1 (en) * 2019-12-31 2021-07-01 Knowles Electronics, Llc Integrated speech enhancement for voice trigger application

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5450522A (en) * 1991-08-19 1995-09-12 U S West Advanced Technologies, Inc. Auditory model for parametrization of speech
US5924065A (en) * 1997-06-16 1999-07-13 Digital Equipment Corporation Environmently compensated speech processing
US6529872B1 (en) * 2000-04-18 2003-03-04 Matsushita Electric Industrial Co., Ltd. Method for noise adaptation in automatic speech recognition using transformed matrices
US6912497B2 (en) * 2001-03-28 2005-06-28 Texas Instruments Incorporated Calibration of speech data acquisition path

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2006030551A1 (fr) * 2004-09-15 2006-03-23 The University Of Tokyo Procede d'adaptation de modele pour reconnaissance vocale dans du bruit, par approximation polynomiale

Also Published As

Publication number Publication date
DE60212477D1 (de) 2006-08-03
US7062433B2 (en) 2006-06-13
EP1241662A2 (fr) 2002-09-18
EP1241662A3 (fr) 2004-02-18
US20020173959A1 (en) 2002-11-21
EP1241662B1 (fr) 2006-06-21
DE60212477T2 (de) 2007-07-05

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